In a significant move to address the burgeoning demand for high-performance computing, cloud and data center services firm ESDS Software Solution has officially launched a sovereign-grade GPU-as-a-Service (GPUaaS).[1][2][3] The new offering is engineered to power the exponential rise of artificial intelligence, machine learning, generative AI, and large language model workloads for a diverse clientele, including enterprises, research institutions, the banking and finance sector, and government agencies.[1][2][3] Unveiled at the company's 20th Annual Day event in Nashik, this service positions ESDS as a comprehensive provider of cloud, managed services, data center infrastructure, and now, high-performance, sovereign-grade GPU infrastructure on a global scale.[1][2][3] The launch comes as the global appetite for AI-optimized servers and accelerators continues to soar, with projected spending expected to reach approximately $329.5 billion by 2026, underscoring the critical need for deterministic, high-throughput computing environments.[1][2][3]

At the heart of the new service is a powerful lineup of cutting-edge GPU systems from industry leaders NVIDIA and AMD.[4][1][2] ESDS will offer access to NVIDIA's advanced DGX and HGX platforms, including the B200, B300, GB200, and the NVL72 architecture, alongside AMD's MI300X platforms.[1][2][5] These systems are specifically designed to enable organizations to train exceptionally large models, accelerate inference speeds, run complex simulation workloads, and manage massive clustered data operations with unprecedented performance.[2][5] The infrastructure is built around purpose-built GPU SuperPODs engineered for secure operations, consistent performance, and low-latency distributed training.[1][2][3] ESDS emphasizes that its SuperPODs feature high-bandwidth NVLink connectivity, unified memory pools, intelligent scheduling, and AI-optimized orchestration to ensure predictable performance at any scale.[2][5] This fully managed GPU infrastructure stack is intended to provide organizations with a reliable architectural foundation to confidently scale their AI initiatives.[1][2][3]

This strategic expansion into GPU-as-a-Service aims to democratize access to large-scale AI infrastructure, which has often been hindered by complexity, ambiguity, and prohibitive costs.[3] Piyush Somani, the Promoter, Managing Director, and Chairman of ESDS, stated that the company's goal is to make GPU clusters and SuperPODs straightforward, transparent, and purpose-built for enterprises with AI ambitions.[1][3] The service portfolio is comprehensive, including advisory and design consultancy for captive GPU clusters, end-to-end supply and deployment of GPU environments, dedicated GPU infrastructure-as-a-service, hybrid CPU and GPU cloud options, and an on-demand managed GPU cloud.[2][5] This allows enterprises the flexibility to deploy isolated, compliance-ready AI environments, run large-scale distributed training, or access GPU power as a utility, with ESDS managing everything from rack engineering to network optimization and 24/7 monitoring.[2][5] By offering a "sovereign-grade" service, ESDS addresses the critical need for data security and compliance, particularly for government and financial sector clients, by ensuring data is hosted securely within national borders.[4]

A key component of this new offering is the SuperPOD Configurator, a tool designed to empower customers by simplifying the process of designing bespoke AI infrastructure.[1][2] This utility allows businesses to select their preferred GPU model and customize their cluster by defining compute density, memory profiles, storage tiers, and interconnect options.[2] The configurator provides instant visibility into the proposed architecture and associated costs, generating performance estimates and recommended configurations.[1][2] This tool fundamentally changes the narrative around AI infrastructure procurement, moving away from ambiguity and toward predictable performance, stability, and scale.[1][3] By putting the design controls in the hands of the client, ESDS aims to streamline the planning and deployment process, making it easier for organizations to tailor their computing environment to specific AI workloads and budgetary requirements, thereby reducing time-to-results and accelerating innovation.

The launch of ESDS's GPU-as-a-Service represents a pivotal development for the AI landscape, particularly within India, by providing robust, scalable, and secure computational resources necessary for advanced AI development. As a company with a history dating back to 2005 and clients across numerous verticals like banking, healthcare, and government, ESDS is leveraging its established expertise in managed data centers and cloud solutions to tap into the high-growth GPU market.[6] The move aligns with broader industry trends that see the global GPUaaS market projected to grow significantly, driven by the escalating adoption of cloud computing and AI applications.[7][8][9] By offering both NVIDIA and AMD platforms, ESDS provides choice and flexibility to a market hungry for computational power.[4] This initiative not only strengthens ESDS's position as a full-stack digital transformation partner but also provides a crucial domestic alternative for Indian enterprises and government bodies looking to build sovereign AI capabilities, ultimately fostering a more self-reliant and innovative technology ecosystem.